Some generalizations of the T-method in simultaneous inference
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Two extensions of the T-method for multiple comparisons on a set of parameters are discussed, which are easily applied to cases where the allied random variables do not satisfy the usual conditions imposed by the T-method. The two generalized T-procedures are compared with the S and the Bonferroni methods and illustrated by various examples.
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